Evidence map›Paper›PMID 32719518›Full record

ReviewNature genetics2020

Characterizing the ecological and evolutionary dynamics of cancer.

Nastaran Zahir, Ruping Sun, Daniel Gallahan, Robert A Gatenby, Christina Curtis

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

66 citing papers in PubMed.

  1. Accurately Predicting Cell Type Abundance from Spatial Histology Image Through HPCell.Interdisciplinary sciences, computational life sciences · 2026
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  12. The theory of tumor immuno-ecodynamics.Frontiers in immunology · 2026
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6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Nastaran ZahirDivision of Cancer Biology, National Cancer Institute, Rockville, MD, USA.
Ruping SunStanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
Daniel GallahanDivision of Cancer Biology, National Cancer Institute, Rockville, MD, USA.
Robert A GatenbyDepartments of Radiology and Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Christina CurtisStanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA. cncurtis@stanford.edu.ORCID http://orcid.org/0000-0003-0166-3802

Funding

Forecasting tumor evolution: can the past reveal the future?DP1CA238296 · NCI · STANFORD UNIVERSITY · PI CURTIS, CHRISTINA N · 2018 to 2022
$5.5M
6 · The paper itself

Abstract

Tumor initiation and progression are somatic evolutionary processes driven by the accumulation of genetic alterations, some of which confer selective fitness advantages to the host cell. This gene-centric model has shaped the field of cancer biology and advanced understanding of cancer pathophysiology. Importantly, however, each genotype encodes diverse phenotypic traits that permit acclimation to varied microenvironmental conditions. Epigenetic and transcriptional changes also contribute to the heritable phenotypic variation required for evolution. Additionally, interactions between cancer cells and surrounding stromal and immune cells through autonomous and non-autonomous signaling can influence competition for survival. Therefore, a mechanistic understanding of tumor progression must account for evolutionary and ecological dynamics. In this Perspective, we outline technological advances and model systems to characterize tumor progression through space and time. We discuss the importance of unifying experimentation with computational modeling and opportunities to inform cancer control.

Indexed as

AnimalsBiological EvolutionDisease ProgressionEcologyEpigenesis, GeneticEpigenomicsHumansModels, BiologicalNeoplasmsSignal TransductionTranscription, Genetic

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.